app.py

from dotenv import load_dotenv
load_dotenv() ## loading all the environment variables

import streamlit as st
import os
import google.generativeai as genai

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
generation_config = {
  "temperature": 0,
  "top_p": 1,
  "top_k": 1,
  "max_output_tokens": 2048,
}

## function to load Gemini Pro model and get repsonses
model = genai.GenerativeModel(model_name="gemini-pro",
                              generation_config=generation_config) 
chat = model.start_chat(history=[])
def get_gemini_response(question):
    
    response=chat.send_message(question,stream=True)
    return response

##initialize our streamlit app

st.set_page_config(page_title="Q&A Demo")

st.header("Gemini LLM Application")

# Initialize session state for chat history if it doesn't exist
if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []

input=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")

if submit and input:
    response=get_gemini_response(input)
    # Add user query and response to session state chat history
    st.session_state['chat_history'].append(("You", input))
    st.subheader("The Response is")
    for chunk in response:
        st.write(chunk.text)
        st.session_state['chat_history'].append(("Bot", chunk.text))
st.subheader("The Chat History is")
    
for role, text in st.session_state['chat_history']:
    st.write(f"{role}: {text}")